Use Cases
Where SQACE secures results.
One method, rule-based expected-vs-actual comparisons, for the points where a wrong result gets expensive: migrations, recurring releases, supervisory reports and AI pipelines. Start small, build out business verification release by release.
Four fields of use, one verification method.
SQACE is complementary to DQ monitoring and goes beyond classical ETL testing. Instead of only asking whether the data looks good or the SQL is correct, SQACE checks whether the processing produces the correct business result, against an independent rulebook and traceable down to the individual record.
Validate mappings early against real data and verify the full population before cut-over.
For CDO & CTO Regression testing Start small: regression verificationThe low-risk entry point: begin without a finished rulebook and build out business verification step by step.
For Test/QA lead Regulatory reporting Regulatory reporting verificationAssure supervisory reports against a business rulebook, with an audit-proof trail per reporting date.
For CDO & business AI risk Verification & assurance for AI pipelinesAI builds the pipeline, but who checks the result? The independent verification instance, neutral to the producing system.
For CDO & CISOReferences
In use where errors are not an option.
40%
less effort in the testing lifecycle
At LBBW, across the entire data-testing lifecycle, measured against the previous approach.
up to 90%
shorter test-run time
LBBW example: run time of individual test runs versus the manual approach, depending on the case.
since 2020
central data-testing platform
LBBW runs SQACE as its central platform for testing data processing.
In production at leading German financial institutions.